摘要
传统的多媒体信息过滤技术算法陈旧,存在过滤不准确,过滤逻辑算法不严谨,多数据涌入易造成崩溃的严重后果.为此,提出大数据环境下海量多媒体信息过滤技术改进方法,分别对算法更新优化,使其支持识别最新多媒体信息格式.通过加强算法逻辑性,使算法能够满足应对大数据环境下多媒体信息共涌状况.采用多媒体特征识别过滤引擎,增强多媒体信息过滤准确度.实验证明,经过改进的大数据环境下海量多媒体信息过滤技术具有识别度高、过滤准确、稳定性好等优点,满足大数据环境下海量多媒体信息过滤的应用要求.
The traditional multi media information filtering algorithm is not accurate and rigor- ous, and multiple data is easy to cause the collapse. Thus, under the big data environment, im- proved mass media information filtering technology is proposed.The algorithm optimization is made to support the latest multimedia information format identification.Strengthening the algorithm logic makes the algorithm deal with large data under the environment of multimedia information surge condition. The multimedia feature recognition filter engine is used to enhance the filtering accuracy.The experiment proves that the improved filtering technology has the advantages of high degree of recognition,filtration accuracy,good stability,etc.It can meet the filtering application requirements.
出处
《西安工程大学学报》
CAS
2017年第4期569-575,共7页
Journal of Xi’an Polytechnic University
关键词
大数据
多媒体信息过滤
多媒体格式ID
big data
multimedia information filtering
the media format ID
作者简介
杨艳（1982-），女，山西省柳林县人，吕梁学院讲师，研究方向为信息技术、网络技术．E-mail：yangyan_yy016@126．com
